Our vision is to create a smart home system for college students within 5-10 years. We believe that within 5-10 years, smart home systems will have mature technology and be affordable enough.
In this context, we plan to create three scenarios. Help college students achieve a more convenient and efficient way of life.
At the same time, we are also concerned about privacy issues, as people have always believed that this is the artificial intelligence system in their homes While achieving our goals, we are also exploring how people perceive artificial intelligence in different ways, such as its appearance Color, sound, and interactive gestures.
In this context, we plan to create three scenarios. Help college students achieve a more convenient and efficient way of life.
At the same time, we are also concerned about privacy issues, as people have always believed that this is the artificial intelligence system in their homes While achieving our goals, we are also exploring how people perceive artificial intelligence in different ways, such as its appearance Color, sound, and interactive gestures.
Privacy Awareness
Basic Mode - Passive Learning
The system is in standby mode and actively listens for specific wake-up keywords 24/7.
It only starts processing data or interacting more fully after hearing these keywords.
Once activated, it will start using the data received during this active interaction process to train its artificial intelligence model. However, when it is in listening mode, it does not continuously learn or train its model.
The system is in standby mode and actively listens for specific wake-up keywords 24/7.
It only starts processing data or interacting more fully after hearing these keywords.
Once activated, it will start using the data received during this active interaction process to train its artificial intelligence model. However, when it is in listening mode, it does not continuously learn or train its model.
Learning mode -24/7 active learning.
The system is fully operational and continuously active.
It continuously learns from user data and uses it to train its artificial intelligence model.
This level involves continuous interaction and data processing, allowing the system to adjust and personalize its response based on continuous data input.
The system is fully operational and continuously active.
It continuously learns from user data and uses it to train its artificial intelligence model.
This level involves continuous interaction and data processing, allowing the system to adjust and personalize its response based on continuous data input.
